Abstract: A method includes obtaining unprocessed data from a plurality of sensors mounted on one or more plant equipment, normalizing the unprocessed data to generate normalized data, converting the unprocessed data from a time domain to a frequency domain to generate a frequency domain signal, detecting a performance anomaly associated with the one or more plant equipment based on the normalized data and a change index routine, and determining a primary cause from among one or more causes of the performance anomaly based on the frequency domain signal and one or more rules.

Abstract: A machine assessment system of the present disclosure is for a machining tool including a spindle. The machine assessment system includes a calibrated spindle tool configured to couple to a distal end of the spindle, a displacement sensor configured to measure a performance characteristic of the machining tool based on a controlled excitation of the calibrated spindle tool, and a controller communicably coupled to the displacement sensor to acquire the performance characteristic. In measuring the performance characteristic, the displacement sensor is detached from the calibrated spindle tool. The controller is configured perform a machine health assessment based on the performance characteristic.